Vind AI gives technical teams transparent, traceable yield analysis, from wake modelling to uncertainty, with the methodology and benchmarking to back every result. Nothing is a black box.
When a business case goes forward, someone has to vouch for the numbers underneath it, and that someone is usually you. A tool that produces a confident figure without showing its working doesn't make it easier, it makes it riskier. The industry's older workflows often force a trade-off between speed and traceability, and technical teams are the ones who feel it most.
with Vind AI
Vind AI is built so you don't have to choose. Fast enough to keep up with the pace of development, transparent enough that you can defend the results.
Six things that get easier with Vind AI
01
Not a black box
Every result traces back to its inputs, assumptions and methodology. You can see how a yield figure was reached, adjust the assumptions, and understand what changed and why. When someone on your team, or an external reviewer, asks how a number was produced, the answer is in the platform, not locked away inside it.
The platform covers most of the technical depth a yield assessment needs: wake modelling, layout-sensitive energy estimates, and uncertainty quantification, run consistently across every site so results are comparable rather than a one-off. You can use it as your go-to tool for yield, or it can help yield experts to better collaborate with other teams as a secondary tool. Move from a quick screening estimate to a full assessment without re-entering data.
Confidence in a method comes from seeing how it performs against the alternatives. Our benchmarking compares Vind AI outcomes against established tools like windPRO and Openwind, so you can judge the platform on evidence rather than claims.
Vind AI integrates DNV's CFD-ML approach, as well as other data layers from trusted suppliers, like Norconsult and Whiffle, that are available for purchase. Vind AI also includes WaSP for no extra charge.
Yield analysis is only as good as the data beneath it. Vind AI draws on 8,000+ built-in data layers, with the source and provenance of each visible, so your team is never working from figures you can't account for. Bring your own data in through the central repository, and it stays connected to everything the team is working on downstream. Setting this up at the start, ensures everyone is working in the same way, and you can compare apples to apples. Vind AI can support with setting up everything you need to succeed.
The platform is designed to slot into a technical stack, not replace it completely. APIs and integrations let you connect Vind AI to your existing tools and pull results into your own analysis, so adopting it doesn't mean abandoning the workflows your team relies on.
For teams that have to clear a tool with IT or security before adopting it, the Trust Centre holds the platform's security posture, including ISO 27001, alongside the methodology and benchmarking. One place, everything a technical or security reviewer needs to sign off.
The Vind AI platform’s data, advanced algorithms and collaborative tools are tailored to onshore- and offshore specific challenges. Vind AI now includes “Solar & Battery” for hybrid energy projects. Wherever or however your project is, Vind AI has got you covered.
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